ME News report, April 16 (UTC+8): According to monitoring by Beating, OpenAI has released a major update to its Agents SDK. The core change provides agents with a genuine working environment: agents can now read and write files, install dependencies, execute code, and invoke tools within a controlled sandbox, rather than being limited to conversational interactions. The SDK’s agent execution framework (harness) now includes configurable memory, sandbox-aware orchestration, and filesystem tools derived from Codex (shell command execution and apply patch code editing). The framework also integrates multiple emerging industry-standard agent protocols: MCP for tool invocation, AGENTS.md for custom instructions, and Skills for progressive capability declaration. Developers no longer need to assemble these infrastructure components manually. Sandbox execution is another key focus of this update. The SDK natively supports seven sandbox providers: Blaxel, Cloudflare, Daytona, E2B, Modal, Runloop, and Vercel, with the option for developers to integrate their own sandbox environments. The newly introduced Manifest abstraction uniformly describes an agent’s workspace, enabling mounting of local files, defining output directories, and connecting to storage services such as AWS S3, Google Cloud Storage, Azure Blob Storage, and Cloudflare R2—all using the same configuration from local prototyping to production deployment. Architecturally, the SDK decouples agent scheduling logic from the compute environment. This offers three key benefits: credentials never enter the execution environment of model-generated code, reducing risks of prompt injection and data leakage; agent state is externalized, enabling snapshots and recovery so that sandbox container crashes do not result in lost progress; and multiple sub-agents can execute tasks in parallel across separate containers. The new features are now available to all API users and are billed according to standard token usage and tool invocation rates. Currently, only Python is supported; a TypeScript version will be released in a future update. (Source: BlockBeats)
OpenAI Agents SDK Major Update Adds File and Code Execution in Sandboxes
KuCoinFlashShare
Summary
On April 16 (UTC+8), OpenAI released a major update to its Agents SDK, introducing real working environments for agents. The SDK now supports file handling, code execution, and tool calling within sandboxes, featuring configurable memory and sandbox-aware orchestration. It supports seven sandbox providers, employs a unified Manifest abstraction, and decouples scheduling from compute environments for enhanced security. The update includes standardized agent protocols and is available to all API users, billed based on token and tool usage. Python is currently supported, with TypeScript to follow. This BTC update and ETH update reflect the ongoing evolution of AI development tools.
Source:Show original
Disclaimer: The information on this page may have been obtained from third parties and does not necessarily reflect the views or opinions of KuCoin. This content is provided for general informational purposes only, without any representation or warranty of any kind, nor shall it be construed as financial or investment advice. KuCoin shall not be liable for any errors or omissions, or for any outcomes resulting from the use of this information.
Investments in digital assets can be risky. Please carefully evaluate the risks of a product and your risk tolerance based on your own financial circumstances. For more information, please refer to our Terms of Use and Risk Disclosure.